Neural network decision making and control has seen a huge advancement recently accompanied by the success of reinforcement learning (RL) [1]}. In particular, deep reinforcement learning (DRL) has achieved super-human performance with neural network policies (also referred to as controllers in control tasks) in various domains [2]}, [3]}, [4]}.
